Quick answer: Unified modeling fixes your organisation’s siloed security data by bringing information from separate tools and systems into one consistent view. This helps your security team connect threats and spot patterns faster. At the same time, it reduces manual data gathering and lets you make informed decisions quickly based on the same information. Cybersecurity Analytics can create an enterprise risk management framework that applies unified cybersecurity modeling to your organisation to help unify your siloed security data.
Your business probably collects more data than ever, but is it really giving you better insights? If different systems keep that information separated, your security team may still be struggling to understand what’s actually happening across the organisation. An enterprise risk management framework can help you move away from disconnected security data and towards a unified approach that connects technical risks with wider business outcomes.
How siloed data affects your business
Siloed security data often happens when your business replaces traditional on-premise ERP systems with multiple cloud platforms. As a result, you’re creating several separate sources of information.
One application collects data that another application can’t easily access or use, so your teams have to work with incomplete information. This makes it difficult to spot patterns and understand risks, or even make timely decisions.
Those inefficiencies can get expensive, too. IDC has reported that inefficient processes can cost businesses as much as 20% to 30% of their annual revenue. Looking at Gartner’s report, you’ll see that poor data quality costs organisations an average of $15 million each year.
How unified modeling fixes security data silos
Through unified modeling, you can get your systems working from the same information.
A unified data model combines information from separate sources and gives your organisation a consistent view of its data. That could mean bringing together information from every tool you use, from ERP systems and CRM platforms to cloud services and on-premise systems.
Instead of leaving your teams with different versions of the same situation, you’re giving them a way to access a more consistent source of information when making decisions.
Breaking down siloed security data
One way you can unify your security data is by moving it into a central cloud-based repository. Once it’s there, you can easily analyse information from multiple sources while controlling who can access it according to your security and compliance requirements.
You can also use extract, transform, and load (ETL) tools to collect data from different systems and consolidate it. With ELT, you can deal with larger volumes of complex or unstructured information.
SQL or Python scripts can also help you connect separate data sources. However, developing and maintaining these integrations can take considerable time and resources.
Fix your siloed security data
If your security team spends too much time piecing together information from separate systems, it may be time to rethink how you manage your data.
Book a free consultation with Cybersecurity Analytics to assess your current setup. With our cybersecurity experts, you can get a tailored enterprise risk management framework that can help you create a more connected view of security risk.
